11 search results - page 2 / 3 » Optimizing noise-immune nanoscale circuits using principles ... |
215
click to vote
Book
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
IDA
2009
Springer
15 years 4 months ago
2009
Springer
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
TIP
2008
14 years 9 months ago
2008
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
124
click to vote
CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
We present a novel global stereo model that makes use of constraints from points with known depths, i.e., the Ground Control Points (GCPs) as referred to in stereo literature. Our...
CAIP
2009
Springer
14 years 7 months ago
2009
Springer
This paper describes a method for seamless enlargement or editing of difficult colour textures containing simultaneously both regular periodic and stochastic components. Such textu...